Abstract
Large scale data fusion of multiple datasets can often provide insights that individual datasets cannot. However, when these datasets reside in different data centers and cannot be collocated due to technical, administrative, or policy barriers, a unique set of problems arise that hamper querying and data fusion. To address these problems, a system and architecture named Parasol is presented that enables federated queries over graph databases residing in multiple clouds. Parasol's design is flexible and requires only minimal assumptions for client clouds. Query optimization techniques are also described that are compatible with Parasol's lightweight architecture. Experiments on a prototype implementation of Parasol indicate its suitability for cross-cloud federated graph queries.
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